AI is changing the reliability game for SREs
SRE is maturing, but AI workloads are making reliability harder to define, validate, and automate. The data points to a clear pattern: teams have adopted the right practices, but they need better context and real-time visibility to make those practices work for AI-era systems. The post AI is changing the reliability game for SREs appeared first on Dynatrace news .
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Dynatrace achieves ISO/IEC 42001 certification
Dynatrace has achieved the international standard certification for AI management systems, ISO/IEC 42001:2023. The certification applies to the AI management systems (AIMS) supporting the Dynatrace platform, including the AI-powered capabilities Dynatrace develops and embeds in Dynatrace SaaS and Dynatrace Managed. The post Dynatrace achieves ISO/IEC 42001 certification appeared first on…
From insight to innovation: How Kiro Crew, Dynatrace, and AWS are helping teams do more
Modern businesses are sitting on a goldmine of information. Your observability data can help you understand what is breaking, what is underperforming, and where your next improvement should come from. The gap isn’t data, it is the distance between seeing something and being able to do something about it That’s exactly what Kiro Crew, […] The post From insight to innovation: How Kiro Crew,…
Your pod may be requesting 25× more CPU than you think, and Kubernetes won’t tell you
You’ve run kubectl describe pod. Your dashboard shows 40 millicores requested for the api-server container. You probably assumed your monitoring had the full picture. The Kubernetes scheduler actually reserved 1000 millicores, a full CPU core, for it. How could both values be true? If you’re sizing clusters, building cost models, or tuning HPA […] The post Your pod may be requesting 25× more…
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DevRel newsletter: September 2026
Hello from the Elastic DevRel team! In this newsletter, we cover jina-ocr-v1, the latest blogs and videos, and upcoming events like Elastic{ON}.
What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior
At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can reason about instead of hope for. That instinct led us somewhere unexpectedly useful. It turns out one of the oldest ideas in reliability engineering, the error budget, maps…